List of Internet Service Providers (ISPs) offering commercial broadband service in New York City as of Dec. 2016, according to data made publicly available by the Federal Communications Commission.

The Big Data Engineering Services Market Report is Segmented by Type (Data Modelling, Data Quality, and Analytics), Business Function (Marketing and Sales, Finance, and HR), Organization Size (Small and Medium Enterprises and Large Enterprises), End-User Industry (BFSI, Manufacturing, and Government), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

As per a recent market study, in 2019, CenturyLink were the leading data center provider, hosting nearly 140 thousand applications, with Equinix in second place hosting 133 thousand applications. The three leading providers (CenturyLink, Equinix, and NTT Communications) collectively hold 4 percent of the market share.

As of March 2024, there were a reported 5,381 data centers in the United States, the most of any country worldwide. A further 521 were located in Germany, while 514 were located in the United Kingdom. What is a data center? A data center is a network of computing and storage resources that enables the delivery of shared software applications and data. These centers can house large amounts of critical and important data, and therefore are vital to the daily functions of companies and consumers alike. As a result, whether it is a cloud, colocation, or managed service, data center real estate will have increasing importance worldwide. Hyperscale data centers In the past, data centers were highly controlled physical infrastructures, but the cloud has since changed that model. A cloud data service is a remote version of a data center – located somewhere away from a company's physical premises. Cloud IT infrastructure spending has grown and is forecast to rise further in the coming years. The evolution of technology, along with the rapid growth in demand for data across the globe, is largely driven by the leading hyperscale data center providers.

The Medicare Fee-For-Service Public Provider Enrollment dataset includes information on providers who are actively approved to bill Medicare or have completed the 855O at the time the data was pulled from the Provider Enrollment, Chain, and Ownership System (PECOS). The release of this provider enrollment data is not related to other provider information releases such as Physician Compare or Data Transparency. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.

The Institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks from July through September 2019. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by NYSoH, including managed care plans, as well as PPO/EPO plans. For more information, please visit: https://pndslookup.health.ny.gov.

The dataset contains the data on characteristics of hospitals and other types of healthcare facilities, including the name and address of the facility and the type of Medicare services the facility provides, among other information. The dataset includes provider number, name, and address and characterizes the participating institutional providers.

The dataset provides enrollment and geographic data for Fee-for-Service (FFS) providers enrolled in the Medi-Cal Dental program and Safety Net Clinics (SNCs) who provide dental services. The data is based on a point in time and is expected to be updated regularly as it becomes available. This dataset does not include Dental Managed Care providers.

Verify the accuracy of SSNs of all individual Medicare providers, owners, managing/directing employees, authorized representatives, ambulance service medical directors, ambulance crew members, technicians, chain organization administrators, Independent Diagnostic Test Facility (IDTF), supervising/directing physicians, and IDTF interpretation service providers. Also included in this Agreement are individual health care providers who apply for a National Provider Identification Number (NPI).

As per a recent market study, in 2019, 46 percent of CenturyLink's customers were startups, with 34 percent being SMBs (small and mid-size businesses). Data Foundry had a greater focus on startups, with 81 percent of their customers being companies who had less than ten employees.

Success.ai’s Verified Company Data for the Automotive Industry in North America provides businesses with reliable, detailed insights into automotive companies and decision-makers across the region.

Drawing from over 170 million verified professional profiles and 30 million company profiles, this dataset delivers comprehensive firmographic details, business locations, and direct contact information for automotive manufacturers, suppliers, dealerships, and service providers.

Whether you’re targeting OEMs, aftermarket suppliers, or dealership networks, Success.ai ensures your outreach and strategic initiatives are supported by accurate, continuously updated, and AI-validated data, all backed by our Best Price Guarantee.

Why Choose Success.ai’s Automotive Industry Data?

1. Comprehensive Automotive Company Insights

   • Access verified firmographic details such as company size, revenue range, production capabilities, and geographic locations.
   • AI-driven validation ensures 99% accuracy, providing confidence in your data and streamlining outreach efforts.

2. Coverage of North American Automotive Markets

   • Includes profiles of manufacturers, Tier 1 and Tier 2 suppliers, dealerships, and service centers across the U.S., Canada, and Mexico.
   • Gain visibility into operational structures, market dynamics, and technology adoption trends unique to the North American automotive sector.

3. Continuously Updated Datasets

   • Real-time updates reflect leadership changes, market expansions, plant openings, and emerging business opportunities.
   • Stay ahead of industry trends and maintain alignment with the fast-paced automotive market.

4. Ethical and Compliant

   • Adheres to GDPR, CCPA, and other data privacy regulations, ensuring responsible and lawful use of company data in your campaigns.

Data Highlights:

• 170M+ Verified Professional Profiles: Connect with automotive executives, operations managers, engineers, and procurement specialists across North America.
• 30M Company Profiles: Access detailed insights into supply chains, dealership networks, and aftermarket providers.
• Business Location Data: Pinpoint facilities, plants, and distribution centers to refine supply chain strategies and customer engagement efforts.
• Firmographic Insights: Understand production capacities, specialization areas, and market positions of automotive businesses.

Key Features of the Dataset:

1. Decision-Maker Profiles in the Automotive Sector

   • Identify and engage with CEOs, COOs, plant managers, and R&D directors shaping production, procurement, and innovation strategies.
   • Target professionals influencing vehicle design, supplier contracts, and dealership networks.

2. Advanced Filters for Precision Targeting

   • Filter companies by segment (OEMs, aftermarket suppliers, EV manufacturers), geographic location, production volumes, or technology focus.
   • Tailor campaigns to align with regional trends, sustainability initiatives, and consumer preferences.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data enable personalized messaging, highlight value propositions, and improve engagement outcomes with automotive stakeholders.

Strategic Use Cases:

1. Supplier and Vendor Development

   • Build relationships with Tier 1 and Tier 2 suppliers managing raw materials, components, or technology integrations.
   • Present products or services that enhance efficiency, cost savings, or compliance with sustainability regulations.

2. Market Entry and Expansion Strategies

   • Explore opportunities to enter new markets or expand into EV production, autonomous vehicles, or connected car technologies.
   • Analyze firmographics and location data to select regions or partners aligned with your business goals.

3. Technology and Innovation Outreach

   • Target R&D directors and engineering teams evaluating new technologies like robotics, IoT systems, or AI-driven production tools.
   • Position your solutions to support innovation in EVs, advanced manufacturing, or intelligent supply chains.

4. Dealership and Service Network Optimization

   • Engage with dealership owners and service managers to enhance customer experience, increase operational efficiency, or adopt digital platforms.
   • Present solutions for inventory management, CRM systems, or customer loyalty programs tailored to dealership needs.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality data at competitive prices, ensuring maximum ROI for sales, marketing, and operational initiatives targeting the automotive industry.

2. Seamless Integration

   • Incorporate verified automotive data into your CRM, marketing automation platforms, or supply chain management systems via APIs or downloadable formats.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven d...

List of registered water supply and sewerage service providers as at 19 February 2024.

Healthcare Data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain point geographic files of healthcare organizations, providers, and hospitals and an boundary file of Primary Care Service Areas.

According to Cognitive Market Research, the global Financial Data Service market size will be USD 24152.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 9661.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 7245.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 5555.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1207.63 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 483.05 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Datafeed/API solutions are the dominant segment, as they allow seamless data integration into existing systems and platforms, making them ideal for companies requiring real-time data across multiple applications

Market Dynamics of Financial Data Service Market

Key Drivers for Financial Data Service Market

Increased Data-Driven Decision-Making to Boost Market Growth

As digital transformation sweeps through financial services, data-driven decision-making has become essential for businesses to remain competitive. Institutions, both financial and non-financial, are increasingly leveraging financial data to guide strategic investments, manage risks, and streamline operations. By utilizing real-time data and predictive analytics, companies gain actionable insights to optimize their investment portfolios and financial planning. With the enhanced capability to analyze data trends and assess market scenarios, businesses can mitigate risks more effectively, making this driver critical to the growth of the financial data service market. For instance, in September 2022, Alibaba Cloud, the digital technology and intellectual backbone of Alibaba Group launched a comprehensive suite of Alibaba Cloud for Financial Services solutions. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations

Advancements in Analytics Technology to Drive Market Growth

The integration of advanced analytics technologies like artificial intelligence (AI) and machine learning (ML) in financial data services has significantly enhanced the accuracy and scope of market insights. AI and ML enable companies to process vast amounts of financial data, identify patterns, and make predictions, thus facilitating strategic planning and investment optimization. These technologies also allow for real-time insights, giving firms a competitive advantage in rapidly evolving markets. With continuous improvements in AI and ML, the demand for advanced data services is expected to grow, positioning this as a key driver of market expansion.

Restraint Factor for the Financial Data Service Market

High Cost of Data Services, will Limit Market Growth

The high cost associated with premium financial data services is a significant restraint, particularly for small and medium-sized enterprises (SMEs). Many advanced platforms and data feeds come with substantial subscription fees, limiting their accessibility to larger organizations with more considerable budgets. This cost barrier restricts smaller firms from fully integrating advanced data insights into their operations. As a result, high subscription costs prevent widespread adoption among SMEs, hindering the financial data service market’s overall growth potential.

Impact of Covid-19 on the Financial Data Service Market

Covid-19 significantly impacted the Financial Data Service Market as companies increasingly relied on accurate data analytics for rapid decision-making amid market volatility. During the pandemic, financial data providers observed heightened demand for real-time and historical data to model economic scenarios and assess risks accurately. This shift spurred technological advancements a...

Data Entry Outsourcing Service Market was valued at USD 1651.28 Million in 2023 and is projected to reach USD 2515.82 Million by 2030, growing at a CAGR of 6.3% during the forecast period 2024-2030.

Global Data Entry Outsourcing Service Market Drivers

The market drivers for the Data Entry Outsourcing Service Market can be influenced by various factors. These may include:

Cost-Effectiveness: Hiring outside service providers to handle data entry work can drastically save operating expenses. This includes cost reductions on infrastructure, perks, and salaries—all of which are especially advantageous for small and medium-sized businesses.
Concentrate on Core Competencies: Businesses can increase overall efficiency and productivity by outsourcing data entry services and concentrating more on their core competencies, which include strategic planning, product development, and customer service.
Access to Skilled Workforce: Data entry jobs are the area in which outsourcing offers access to a knowledgeable and experienced workforce. When compared to doing these jobs internally, this can result in higher accuracy and faster turnaround times.
Technological Advancements: By increasing efficiency and lowering the risk of error, the incorporation of cutting-edge technology like automation, artificial intelligence, and machine learning in data entry procedures makes outsourcing more alluring.
Scalability: Depending on the demands of the business, outsourcing provides the freedom to scale up or down operations. For organizations with varying workloads or seasonal demands, this is especially helpful.
Data Security and Compliance: Reputable outsourcing companies guarantee the confidentiality and integrity of sensitive data by adhering to international data protection rules and implementing strong security measures.
Globalization and Business Expansion: Effective data management becomes more and more important as firms grow internationally. Businesses can effectively handle massive volumes of data from multiple locations by outsourcing data entry services.
Increased Turnaround Time: Since outsourcing companies frequently work in different time zones, continuous workflow and speedier data entering task processing are possible, which can increase overall business efficiency.

Graph and download economic data for Internet Service Providers, Web Search Portals, and Data Processing Services Payroll Employment in Texas (TX518000M175FRBDAL) from Jan 1990 to Nov 2024 about internet, processed, payrolls, TX, services, employment, and USA.

This Choose Work webpage provides access to a tool for doing a direct search for Ticket to Work service providers by zip code. It functions similarly to a web based API.

Graph and download economic data for All Employees: Information: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services in Salt Lake City-Murray, UT (MSA) (SMU49416205051800001) from Jan 1990 to Jan 2025 about Salt Lake City, information, UT, services, employment, and USA.

The Medicare Outpatient Hospitals by Provider and Service dataset provides information on services for Original Medicare Part B beneficiaries by OPPS hospitals. These datasets contain information on the number of services, payments, and submitted charges organized by provider CMS Certified Number (CCN) and comprehensive Ambulatory Payment Classification (APC).

This data set from NYS Office for the Aging (OFA) provides a listing of community resources to help the public find services for older and disabled New Yorkers. Included is information on NY Connects, trusted places for information and assistance about long term services and supports whether you are paying for services yourself, through insurance, or eligible for a government program.